Principal Applied Scientist (Ad Tech)

Company

hirify.global operates a pan-European fashion and lifestyle e-commerce ecosystem with an advertising technology platform that makes real-time decisions at high request volumes.

What you will do

• Lead research and development of real-time bidding and allocation algorithms.
• Advance auction and mechanism design capabilities for a fair, efficient, and transparent advertising marketplace.
• Translate product and business constraints into mathematical objective functions with Product Managers, Engineers, and Analysts.
• Define the scientific and execution roadmap for ZMS Ad Tech bidding optimization.
• Coach and support scientists and contribute to a culture of technical excellence.

Requirements

• PhD in Machine Learning with peer-reviewed publications and industry experience.
• Research or applied industry impact in computational advertising, auction theory, mechanism design, game theory, or related fields.
• At least 5 years of experience optimizing complex systems through automated algorithms, preferably in Ad Tech, marketplaces, or related domains.
• Deep expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing.
• Experience productionizing machine learning models under ultra-low-latency constraints and working with large-scale distributed systems.
• Strong Python skills and experience architecting scalable data pipelines for sparse, high-dimensional advertising data.

Culture & Benefits

• 27 days of annual holiday for full-time employees, increasing to 30 days with tenure.
• Two paid volunteering days per year and an employee shares program.
• Relocation assistance is available subject to prior agreement.
• Family services, health and wellbeing options, mental health support, and coaching.
• Training platform access and biannual peer-to-peer reviews.
• Discounts on hirify.global products and selected external partners.